An Autosteering Gear System with a Fuzzy Regulator Adjusted by a Neural Network

The Impact of Artificial Intelligence on Data System Security: A Literature Review

“…As well, video surveillance that tracks unusual behavior [20]; (II) Deep learning constitutes the ensuing progress of machine learning, in which the machine carry out tasks directly from pictures, text, and sound, through a wide set of data architecture that entails numerous layers in order to learn and characterize data with several levels of abstraction imitating thus how the natural brain processes information [21]. This is illustrated, for example, in forming a certificate database structure of university performance key indicators, in order to fix issues such as identity authentication [21]; (III) Neural networks are composed of a pattern recognition system that machine/deep learning operates to perform learning from observational data, figuring out its own solutions such as an auto-steering gear system with a fuzzy regulator, which enables to select optimal neural network models of the vessel paths, to obtain in this way control activity [22]; (IV) Natural language processing machines analyze language and speech as it is spoken, resorting to machine learning and natural language processing, such as developing a swarm intelligence and active system, while mounting friendly human-computer interface software for users, to be implemented in educational and e-learning organizations [23]; (V) Expert systems are composed of software arrangements that assist in achieving answers to distinct inquiries provided either by a customer or by another software set, in which expert knowledge is set aside in a particular area of the application that includes a reasoning component to access answers, in view of the environmental information and subsequent decision making [24].…”

“…Those subthemes of AI are applied to many sectors, such as health institutions, education, and management, through varying applications related to systems security. These abovementioned processes have been widely deployed to solve important security issues such as the following application trends (Figure 1): for use in robotic systems [1,13,16,22,74,75].…”

“…Finally, the neural network is quite representative of AI, in the attempt of, once trained in human learning and self-learning, could operate without human guidance, as in the case of a current positioning vessel seaway systems, involving a fuzzy logic regulator, a neural network classifier enabling to select optimal neural network models of the vessel paths, to obtain control activity [22].…”

The impact of Artificial Intelligence on Data System Security: A Literature Review

“…This is illustrated for example in forming a certificate database structure of university Performance Key Indicators, in order to fix issues such as identity authentication [21]. (III) Neural Networks, is made of a pattern recognition system that machine / deep learning operates to perform learning from observational data, figuring out its own solutions such as a autosteering gear system with a fuzzy regulator, which enables to select optimal neural network models of the vessel paths, to obtain in this way control activity [22]. (IV) Natural Language processing machines, analyze language and speech as it is spoken, , resorting to Machine learning and natural language processing, such as developing a swarm intelligence and active system, while mounting friendly human computer interface software for users, to be implemented in educational and e-learning organizations [23].…”

“…Finally, neural network is quite representative of AI, in the attempt of, once trained in human learning and self learning, could operate without human guidance, as in the case of a current positioning vessel seaway systems, involving a fuzzy logic regulator, a neural network classifier enabling to select optimal neural network models of the vessel paths, to obtain control activity [22].…”